Deep Learning for Medical Decision Support Systems von Utku Kose | ISBN 9789811563256

Deep Learning for Medical Decision Support Systems

von Utku Kose, Omer Deperlioglu, Jafar Alzubi und Bogdan Patrut
Mitwirkende
Autor / AutorinUtku Kose
Autor / AutorinOmer Deperlioglu
Autor / AutorinJafar Alzubi
Autor / AutorinBogdan Patrut
Buchcover Deep Learning for Medical Decision Support Systems | Utku Kose | EAN 9789811563256 | ISBN 981-15-6325-X | ISBN 978-981-15-6325-6
“It covers several interesting applications of deep learning in medicine … . the book can be a helpful addition to a researcher interested in a general overview of how deep learning can be applied to some medical decision systems.” (Anita T. Layton, SIAM Review, Vol. 63 (4), December, 2021)

Deep Learning for Medical Decision Support Systems

von Utku Kose, Omer Deperlioglu, Jafar Alzubi und Bogdan Patrut
Mitwirkende
Autor / AutorinUtku Kose
Autor / AutorinOmer Deperlioglu
Autor / AutorinJafar Alzubi
Autor / AutorinBogdan Patrut

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine. 
Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.